Lviv Data Science Summer School

About Summer School

Lviv Data Science Summer School is an educational initiative of the Faculty of Applied Sciences of the Ukrainian Catholic University. The Summer School participants – undergraduates, Ph.D. students, young professionals – study state-of-the-art methods and tools of Data Science, and Machine Learning. The school is oriented towards the intermediate level of participants’ knowledge.

The dates of the school in 2021 are July 19th – 30th.

Important! Due to the COVID-19 pandemic, the Lviv Data Science Summer School will be in online format.

Study program

The goal of the Summer School is to give practice-oriented knowledge in the field of Data Science.

The students are involved in several elective practice-oriented courses in the domains of Computer Vision, Natural Language Processing, Healthcare, Social Network Analysis, Urban Data Science, etc.

The participants can gain from 1 to 6 ECTS credits after the School completion. Some courses will include assignments, each of which allows to get 1 ECTS credit. Assignments are provided by teachers. Also, each assignment has a specific deadline.

Application process

The application deadline is July 15, 2021.

Registration for optional credit courses closes when the group is full (up to 30 students per course), so it can be completed before July 15.

Super late application

You are still able to apply for the school while it is running. The application fee is 90 EUR. Please use this link for the application:







Important facts

  • Study format: online lectures; 6 long courses of 4 lectures each and 6 short courses of 2 lectures
  • School total amount of credits: from 1 to 6 ECTS credits
  • The application deadline is July 15th.
  • DAAD application deadline is June 1st.
  • School dates: July 19-30, 2021
  • School duration: 10 days
  • Study day format: 9 hours with breaks
  • English level B1 or higher.
  • Programming: The knowledge of Python’s basic syntax and main mathematical library usage (e.g., Numpy). R language skills are obligatory.
  • Basics of Statistical Inference.
  • Basics of Machine Learning.

You may find all the necessary information about the admission and study process at the program by the following links.


The scientists from well-known universities and the leading specialists of the Ukrainian and world’s companies teach at the Summer School.


Dr. Volodymyr Mnih

Research scientist at DeepMind

Dr. Tomas Mikolov,

Czech Technical University

Dr. Mykola Pechenizkiy

 Eindhoven University of Technology

Dr. Edgar Walker,

University of Tübingen

Dr. Dmytro Guzenko,

Scientific consultant, industry

Dr. Anna Aljanaki,

University of Tartu

Alexandr Honchar,

ML Director and Partner at Neurons Lab

Dr. Marharyta Aleksandrova

 University of Luxembourg

Sebastian Weichwald,

Copenhagen Causality Lab, Copenhagen University.

Liubomyr Bregman,

Data Science Lead в Amazon.EU HQ

Dr. Igor Koval,

Postdoctoral Researcher in Machine Learning


Dr. Oleksii Ignatenko

doctor of physical and mathematical sciences

Dmytro Kalpakchi,

Ph.D. Student at KTH Royal Institute of Technology



Genesis is a full-cycle international product ІТ-company. Almost 2000 professionals in 5 countries create products, that change the lives of millions of people all around the world. 

  • the ecosystem of 15 businesses in four spheres — online media, classifieds, R&D, and investments;
  • more than 200 million unique monthly users;
  • one of the largest partners of Facebook, Google, Snapchat, and Apple in Eastern Europe;
  • the Best IT Employer in Ukraine (by DOU.UA)                  

Genesis is a unique place for the development and growth with:

  • expertise in the development of high-loaded products in international markets;
  • unique opportunities for learning including various training and seminars within the company, access to a valuable and extensive book library, English courses, and participation in key IT industry events worldwide;
  • the company values the comfort of its employees: they provide daily fruit and lunches for everyone, health insurance, and support participation in sports competitions.


SQUAD is a research and delivery team working on impactful products.

  • SQUAD is gathering top-notch minds in domains such as Research, Embedded, Hardware, Mobile, QA, Infrastructure, Delivery, Product and Design, and Analytics to collaborate on the latest smart home security/IoT.
  • Their modern labs feature test devices and leading optical equipment, creating a unique opportunity to work and innovate on real R&D in Ukraine. SQUAD is a growing team that operates with a startup spirit to generate solutions for products and raise the bar with every detail.
  • The company pulls together strong performers and fosters an environment for creativity and discovery. They believes that the synergy of outstanding people and this environment can tackle any global challenge.

Forget good. Do great in SQUAD.